{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting an A-scan\n",
    "\n",
    "In the ``tools`` sub-package is a module called ``plot_Ascan`` which can be used to plot A-scans or single traces from models. The module will plot electric and magnetic field components and currents from any outputs (defined using the ``#rx`` command) in a model. When a single field component or current is specified, a FFT can also be plotted. The module takes an argument which is the name of the output file and several optional arguments:\n",
    "\n",
    "* ``--outputs`` which can be any field component or current, i.e. ``Ex``, ``Ey``, ``Ez``, ``Hx``, ``Hy``, ``Hz``, ``Ix``, ``Iy``, or ``Iz``, so long as those components or currents were specified in the output in the model (default is for all electric and magnetic field components to be plotted)\n",
    "* ``-fft`` a switch to turn on the FFT plotting for a single field component or current\n",
    "\n",
    "Each output (``#rx``) from a model will be plotted in a separate figure window.\n",
    "\n",
    "For example (to use the module outside this notebook) to plot the ``Ez`` component of an output with its FFT:\n",
    "\n",
    "    python -m tools.plot_Ascan user_models/cylinder_Ascan_2D.out --outputs Ez -fft"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use the following code to experiment (in this notebook) with plotting different field/current components and FFTs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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jUaSkSN26uXrHDmnFCtt+AAAAAOAQGOgAAAAA8eSDD7yaLdf8EcC2awAAAADg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\nqF4dSRUrIi4kBClVqtx4DdWrY3jx4hhRsqQk5X+Ow5UrIy4kBLsrVdJ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0aKEuHiIvZUQe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BOCu3R27bJ+NYEMiHMMdBABcgAAOQA006hRofrZZ831YQPHcuDRR0O7xq+4ovFwB4CrOJEDUd+h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\n0qWN3p87d65GjBhxQm8/+clPeA6eg+c4z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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1112e65c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import os\n",
    "from gprMax.receivers import Rx\n",
    "from tools.plot_Ascan import mpl_plot\n",
    "\n",
    "filename = os.path.join(os.pardir, os.pardir, 'user_models', 'cylinder_Ascan_2D.out')\n",
    "outputs = Rx.defaultoutputs\n",
    "outputs = ['Ez']\n",
    "plt = mpl_plot(filename, outputs, fft=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
